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import h5py
import numpy as np
from pyVHR.datasets.dataset import Dataset
from pyVHR.signals.bvp import BVPsignal
class COHFACE(Dataset):
"""
Cohface dataset structure:
-----------------
datasetDIR/
|
|-- subjDIR_1/
| |-- vidDIR1/
| |-- videoFile1.avi
| |-- ...
| |-- videoFileN.avi
|...
| |-- vidDIRM/
| |-- videoFile1.avi
| |-- ...
| |-- videoFileM.avi
|...
|-- subjDIR_n/
|...
"""
name = 'COHFACE'
signalGT = 'BVP' # GT signal type
numLevels = 2 # depth of the filesystem collecting video and BVP files
numSubjects = 40 # number of subjects
video_EXT = 'avi' # extension of the video files
frameRate = 20 # vieo frame rate
VIDEO_SUBSTRING = 'data' # substring contained in the filename
SIG_EXT = 'hdf5' # extension of the BVP files
SIG_SUBSTRING = 'data' # substring contained in the filename
SIG_SampleRate = 256 # sample rate of the BVP files
skinThresh = [40,60] # thresholds for skin detection
def readSigfile(self, filename):
""" Load BVP signal.
Must return a 1-dim (row array) signal
"""
f = h5py.File(filename, 'r')
data = np.array(f['pulse']) # load the signal
data = data.reshape(1,len(data)) # monodimentional signal
return BVPsignal(data, self.SIG_SampleRate)
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